Alternatives and similar repositories for camml

Users that are interested in camml are comparing it to the libraries listed below

• yfzhang114 / LLaVA-Align
  [ACM Multimedia 2025] This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual…
  ☆82Updated 11 months ago
• opendatalab / HA-DPO
  Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization
  ☆100Updated 2 years ago
• JieShibo / MemVP
  [ICML 2024] Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning
  ☆50Updated last year
• GasolSun36 / MVP
  Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning
  ☆24Updated last year
• palchenli / VL-Instruction-Tuning
  ☆92Updated 2 years ago
• StanfordMIMI / villa
  [ICCV 2023] ViLLA: Fine-grained vision-language representation learning from real-world data
  ☆46Updated 2 years ago
• Kwai-YuanQi / TaskGalaxy
  Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types
  ☆33Updated 6 months ago
• MIV-XJTU / FLAME
  [CVPR 2025] PyTorch implementation of paper "FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training"
  ☆32Updated 7 months ago
• thunlp / DeepPerception
  DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding
  ☆66Updated 7 months ago
• findalexli / mllm-dpo
  [ACL 2024] Multi-modal preference alignment remedies regression of visual instruction tuning on language model
  ☆47Updated last year
• pkunlp-icler / MIC
  MMICL, a state-of-the-art VLM with the in context learning ability from ICL, PKU
  ☆50Updated 6 months ago
• UCSC-VLAA / CLIPS
  An Enhanced CLIP Framework for Learning with Synthetic Captions
  ☆39Updated 9 months ago
• ys-zong / VL-ICL
  [ICLR 2025] VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning
  ☆70Updated 4 months ago
• luka-group / mDPO
  [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.
  ☆85Updated last year
• RayRuiboChen / Self-Filter
  ☆26Updated 6 months ago
• bronyayang / HallE_Control
  HallE-Control: Controlling Object Hallucination in LMMs
  ☆31Updated last year
• heliossun / SQ-LLaVA
  Visual self-questioning for large vision-language assistant.
  ☆45Updated 6 months ago
• WillDreamer / Aurora
  [NeurIPS2023] Parameter-efficient Tuning of Large-scale Multimodal Foundation Model
  ☆89Updated 2 years ago
• X-PLUG / mPLUG-HalOwl
  mPLUG-HalOwl: Multimodal Hallucination Evaluation and Mitigating
  ☆97Updated 2 years ago
• thunlp / Muffin
  ☆66Updated 2 years ago
• YiyangZhou / LURE
  [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
  ☆156Updated last year
• foundation-multimodal-models / CAL
  [NeurIPS'24] Official PyTorch Implementation of Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment
  ☆58Updated last year
• yuezih / less-is-more
  Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)
  ☆57Updated last year
• Pbihao / SLM
  ☆29Updated last year
• SooLab / DDCOT
  [NeurIPS 2023]DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models
  ☆49Updated last year
• Yuqifan1117 / HalluciDoctor
  HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)
  ☆52Updated last year
• UCSC-VLAA / VLAA-Thinking
  [TMLR 25] SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models
  ☆149Updated 3 months ago
• 1zhou-Wang / MemVR
  [ICML 2025] Official implementation of paper 'Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in…
  ☆171Updated 4 months ago
• BAAI-DCAI / Dataset-Pruning
  Dataset pruning for ImageNet and LAION-2B.
  ☆79Updated last year
• YiyangZhou / CSR
  [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models
  ☆84Updated 3 months ago